Nature

Reinforcement Learning

Reinforcement learning (RL) is a branch of machine learning in which an agent learns to make sequences of decisions by interacting with an environment and maximising cumulative rewards. Unlike ...
Nature

A Primer on Reinforcement Learning in Medicine for Clinicians

In healthcare, making the right decisions is crucial, as professionals face complex choices daily, from diagnosis to treatment planning and resource allocation. Patient care needs strategies that ...
techtimes

Open-Source Coding Model Ornith-1.0 Writes Its Own Training Scaffold in Reinforcement Learning

DeepReinforce today released Ornith-1.0, a family of open-source coding models built around a mechanism most RL-trained agents avoid: the model itself writes the training harness that guides its own ...
Wired

Pioneers of Reinforcement Learning Win the Turing Award

In the 1980s, Andrew Barto and Rich Sutton were considered eccentric devotees to an elegant but ultimately doomed idea—having machines learn, as humans and animals do, from experience. Decades on, ...
Scientific Research Publishing

Deep Reinforcement Learning for Phishing Detection with Transformer-Based Semantic Features ()

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...